📄 PDF Chatbot – Ask Questions About Any PDF

An interactive Streamlit application that lets you upload a PDF, embed its contents using OllamaEmbeddings, and ask context-aware questions using a conversational AI powered by phi.

---

🚀 Features

• 📁 Upload and parse PDFs
• 🔎 Intelligent chunking of PDF content
• 🧠 Embedding with OllamaEmbeddings (LLM: phi)
• 💾 Persistent Chroma vector store for fast retrieval
• 🤖 LLM-powered question answering using RetrievalQA
• 💬 Stateful conversation with memory
• 🖼️ Chat UI with streaming responses and typing animation
• 🔧 Robust error handling and logging

---

🧱 Tech Stack

• Python
• Streamlit
• LangChain
• Ollama (local LLM server)
• ChromaDB
• PyPDFLoader

---

📦 Installation

# Clone the repository
git clone https://github.com/siddharth-coder8/PDF-CHAT-PROJECT
cd PDF-CHAT-PROJECT

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows use venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

---

⚙️ Requirements

• Python 3.8+
• Ollama running locally (tested with model phi)
• Required ports open (http://localhost:11434 for Ollama)
• PDFs to test with

---

📂 Folder Structure

.
├── files/           # Uploaded PDFs
├── jj/              # Chroma vector store
├── main.py          # Main Streamlit app
├── requirements.txt
└── README.md

---

▶️ Usage

1. Start the Ollama server:

   ollama run phi

2. Run the app:

   streamlit run main.py

3. Upload a PDF and start chatting!

---

🛠️ Troubleshooting

• If you see connection errors:

  • Make sure Ollama is running at http://localhost:11434
  • Ensure the phi model is downloaded

• Logs are printed to the terminal via logging